Instructions to use YakovElm/IntelDAOS15Classic_MSE_Sample with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YakovElm/IntelDAOS15Classic_MSE_Sample with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YakovElm/IntelDAOS15Classic_MSE_Sample")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YakovElm/IntelDAOS15Classic_MSE_Sample") model = AutoModelForSequenceClassification.from_pretrained("YakovElm/IntelDAOS15Classic_MSE_Sample", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
78fded7 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:879524f123f1d547104daec2f79a2a9d8d7f6a1559175ff375952cfa16c2e62c
size 438223128
|